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Tiger Analytics Tech Stack

AI and analytics consulting at enterprise scale, heavy on GenAI and cloud data platforms

Business Consulting and Services Santa Clara, CA 5,001–10,000 employees Founded 2011 Privately Held

Tiger Analytics is a 5,000+ person consulting firm built around data transformation and AI. The tech stack is Google Cloud–dominant (Vertex AI, BigQuery, Dataflow) with secondary AWS/Azure coverage and emerging adoption of dbt, Snowflake, and Dataiku—signaling a shift toward modern cloud warehousing and low-code ML platforms. Hiring velocity is accelerating with 131 roles posted in the last 30 days, weighted heavily toward data (139 open positions) over engineering (45), reflecting a services business scaling delivery capacity. Active projects span GenAI solution development, demand forecasting, and cloud-native ML platform architecture, while recorded pain points cluster around cloud migration, logistics optimization, and controlling hallucinations in LLM outputs.

Tech Stack 200 technologies

Core StackVertex AI BigQuery FastAPI Flask Python TensorFlow PyTorch scikit-learn pandas NumPy PySpark RAG Langchain MySQL PostgreSQL AWS Databricks Java AutoML Dataflow Google Cloud Functions Pub/Sub GCS Cloud Build Cloud Run Dataproc IAM VPC AWS EMR Athena+170 more
AdoptingAWS Snowflake Matillion dbt Power BI Dataiku Azure GCP+6 more
ReplacingSAS Alteryx

What Tiger Analytics Is Building

Challenges

  • Demand forecasting
  • Optimizing marketing mix
  • Inefficiencies and bottlenecks across logistics and operations
  • Migrating legacy data systems to cloud
  • Process and workflow gaps
  • Enterprise-scale user migrations
  • Identifying inefficiencies across logistics
  • Reducing hallucinations in ai models
  • Winning multi-million-dollar qe deals
  • Migrating users during m&a integration

Active Projects

  • Genai solution development
  • Predictive demand forecasting model
  • Generative ai & nlp development
  • Pricing and promotion optimization product
  • Reference data design
  • Scaling pilots to long-term transformative program
  • Develop predictive models for inventory management
  • Predictive models for banking risk and compliance
  • Cloud-native platform architecture for ml training and deployment
  • Building end-to-end data pipelines on aws

Hiring Activity

Accelerating260 roles · 130 in 30d

Department

Data
139
Engineering
45
HR
12
Sales
12
Product
8
Finance
7
Consulting
5
Marketing
5

Seniority

Senior
165
Lead
38
Director
11
Mid
11
Principal
8
Manager
6

Notable leadership hires: Strategy Lead, MDM Lead, AI Lead, Program Lead, Sales Director

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About Tiger Analytics

Tiger Analytics provides AI and data transformation consulting to enterprise clients across North America, UK, India, and APAC. The firm's core service lines span machine learning, predictive analytics, natural language processing, and cloud data platform engineering, with specialization in demand forecasting, pricing optimization, and risk/compliance modeling for financial services. The company operates from Santa Clara with engineering and consulting teams distributed across the US, India, Canada, Mexico, UK, Spain, Singapore, and Australia. Current engagement focuses include large-scale cloud migrations (SAS and Alteryx replacement), GenAI solution builds, and operationalizing data pipelines on AWS and Google Cloud.

HeadquartersSanta Clara, CA
Company Size5,001–10,000 employees
Founded2011
Hiring MarketsCanada, United States, Mexico, India, United Kingdom

Frequently Asked Questions

What cloud platforms does Tiger Analytics use?

Google Cloud (Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Run, Dataproc) is primary, with AWS (EMR, Athena) and Databricks in secondary use. The firm is actively adopting Snowflake, Azure, and GCP alongside existing infrastructure.

What is Tiger Analytics working on?

Active projects include GenAI solution development, predictive demand forecasting, generative AI and NLP capabilities, pricing and promotion optimization products, cloud-native ML platforms, AWS data pipelines, and predictive models for banking risk and inventory management.

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